Fuzzy Classification of Online Customers

This book introduces a fuzzy classification approach, which combines relational databases with fuzzy logic for more effective and powerful customer relationship management (CRM). It shows the benefits of a fuzzy classification in contrast to the traditional sharp evaluation of customers for the acqu...

Mô tả đầy đủ

Đã lưu trong:
Chi tiết về thư mục
Tác giả chính: Werro, Nicolas
Định dạng: Sách
Ngôn ngữ:English
Được phát hành: Springer 2015
Những chủ đề:
Truy cập trực tuyến:https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/59419
Các nhãn: Thêm thẻ
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
Thư viện lưu trữ: Thư viện Trường Đại học Đà Lạt
id oai:scholar.dlu.edu.vn:DLU123456789-59419
record_format dspace
spelling oai:scholar.dlu.edu.vn:DLU123456789-594192023-11-11T06:39:15Z Fuzzy Classification of Online Customers Werro, Nicolas Management. Electronic commerce Data processing Customer relations Fuzzy logic This book introduces a fuzzy classification approach, which combines relational databases with fuzzy logic for more effective and powerful customer relationship management (CRM). It shows the benefits of a fuzzy classification in contrast to the traditional sharp evaluation of customers for the acquisition, retention and recovery of customers in online shops. The book starts with a presentation of the basic concepts, fuzzy set theory and the combination of relational databases and fuzzy classification. In its second part, it focuses on the customer perspective, detailing the central concepts of CRM, its theoretical constructs and aspects of analytical, operational and collaborative CRM. It juxtaposes fuzzy and sharp customer classes and shows the implications for customer positioning, mass customization, personalization, customer assessment and controlling. Finally, the book presents the application and implementation of the concepts in online shops. A detailed case study presents the application and a separate chapter introduces the fuzzy Classification Query Language (fCQL) toolkit for implementing these concepts. In its appendix the book lists the fuzzy set operators and the query language’s grammar. 2015-12-14T01:10:50Z 2015-12-14T01:10:50Z 2015 Book 978-3-319-15970-6 978-3-319-15969-0 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/59419 en application/pdf Springer
institution Thư viện Trường Đại học Đà Lạt
collection Thư viện số
language English
topic Management.
Electronic commerce
Data processing
Customer relations
Fuzzy logic
spellingShingle Management.
Electronic commerce
Data processing
Customer relations
Fuzzy logic
Werro, Nicolas
Fuzzy Classification of Online Customers
description This book introduces a fuzzy classification approach, which combines relational databases with fuzzy logic for more effective and powerful customer relationship management (CRM). It shows the benefits of a fuzzy classification in contrast to the traditional sharp evaluation of customers for the acquisition, retention and recovery of customers in online shops. The book starts with a presentation of the basic concepts, fuzzy set theory and the combination of relational databases and fuzzy classification. In its second part, it focuses on the customer perspective, detailing the central concepts of CRM, its theoretical constructs and aspects of analytical, operational and collaborative CRM. It juxtaposes fuzzy and sharp customer classes and shows the implications for customer positioning, mass customization, personalization, customer assessment and controlling. Finally, the book presents the application and implementation of the concepts in online shops. A detailed case study presents the application and a separate chapter introduces the fuzzy Classification Query Language (fCQL) toolkit for implementing these concepts. In its appendix the book lists the fuzzy set operators and the query language’s grammar.
format Book
author Werro, Nicolas
author_facet Werro, Nicolas
author_sort Werro, Nicolas
title Fuzzy Classification of Online Customers
title_short Fuzzy Classification of Online Customers
title_full Fuzzy Classification of Online Customers
title_fullStr Fuzzy Classification of Online Customers
title_full_unstemmed Fuzzy Classification of Online Customers
title_sort fuzzy classification of online customers
publisher Springer
publishDate 2015
url https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/59419
_version_ 1819835742918017024